pyr0ball
89d3862f62
Backend:
- Migrations 013-015: eBay user tokens, monitor settings on saved_searches
(monitor_enabled, poll_interval_min, min_trust_score, last_checked_at),
watch_alerts table with UNIQUE dedup on (saved_search_id, platform_listing_id),
active_monitors registry for cross-user polling
- WatchAlert model + store methods: upsert_alert, list_alerts, dismiss_alert,
count_undismissed_alerts, dismiss_all_alerts, list_active_monitors
- monitor.py: run_monitor_search() using TrustScorer.score_batch(); should_alert()
with BIN/auction/partial-score logic (auction window = 24h, partial +10 buffer)
- PATCH /api/saved-searches/{id}/monitor, GET /api/alerts, POST /api/alerts/*/dismiss
- Background polling loop at startup (asyncio.to_thread every 60s check cycle)
- ebay/adapter.py: enrich_seller_trading_api() via Trading API GetUser (OAuth token)
- nginx: raise proxy_read_timeout to 120s for slow eBay search responses
Frontend:
- AlertBell component: bell button + unread badge + panel with dismiss/clear-all;
polls /api/alerts every 2 minutes; aria-live announcement on count change
- alerts.ts Pinia store: fetchAlerts, dismiss, dismissAll
- SavedSearchesView: monitor toggle + poll interval + min trust score controls
- SettingsView: eBay OAuth connect/disconnect section
- AppNav: AlertBell wired for logged-in and local-tier users
Tests: 24 monitor tests (should_alert branches, store alert CRUD, run_monitor_search
with mocked adapter); fix browser_pool test assertions for new wait_for_* params.
125 lines
3.6 KiB
Python
125 lines
3.6 KiB
Python
"""Dataclasses for all Snipe domain objects."""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Optional
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@dataclass
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class Seller:
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platform: str
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platform_seller_id: str
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username: str
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account_age_days: Optional[int] # None = not yet fetched (scraper tier)
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feedback_count: int
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feedback_ratio: float # 0.0–1.0
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category_history_json: str # JSON blob of past category sales
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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@dataclass
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class Listing:
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platform: str
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platform_listing_id: str
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title: str
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price: float
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currency: str
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condition: str
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seller_platform_id: str
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url: str
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photo_urls: list[str] = field(default_factory=list)
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listing_age_days: int = 0
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buying_format: str = "fixed_price" # "fixed_price", "auction", "best_offer"
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ends_at: Optional[str] = None # ISO8601 auction end time; None for fixed-price
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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trust_score_id: Optional[int] = None
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category_name: Optional[str] = None # leaf category from eBay API (e.g. "Graphics/Video Cards")
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# Staging DB fields — populated from DB after upsert
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first_seen_at: Optional[str] = None
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last_seen_at: Optional[str] = None
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times_seen: int = 1
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price_at_first_seen: Optional[float] = None
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@dataclass
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class TrustScore:
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listing_id: int
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composite_score: int # 0–100
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account_age_score: int # 0–20
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feedback_count_score: int # 0–20
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feedback_ratio_score: int # 0–20
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price_vs_market_score: int # 0–20
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category_history_score: int # 0–20
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photo_hash_duplicate: bool = False
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photo_analysis_json: Optional[str] = None
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red_flags_json: str = "[]"
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score_is_partial: bool = False
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id: Optional[int] = None
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scored_at: Optional[str] = None
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@dataclass
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class MarketComp:
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platform: str
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query_hash: str
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median_price: float
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sample_count: int
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expires_at: str # ISO8601 — checked against current time
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id: Optional[int] = None
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fetched_at: Optional[str] = None
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@dataclass
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class SavedSearch:
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"""Schema scaffolded in v0.1; background monitoring wired in v0.2."""
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name: str
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query: str
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platform: str
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filters_json: str = "{}"
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id: Optional[int] = None
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created_at: Optional[str] = None
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last_run_at: Optional[str] = None
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# Monitor settings (migration 014)
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monitor_enabled: bool = False
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poll_interval_min: int = 60
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min_trust_score: int = 60
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last_checked_at: Optional[str] = None
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@dataclass
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class WatchAlert:
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"""A new listing surfaced by the background monitor for a saved search."""
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saved_search_id: int
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platform_listing_id: str
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title: str
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price: float
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trust_score: int
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currency: str = "USD"
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url: Optional[str] = None
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id: Optional[int] = None
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first_alerted_at: Optional[str] = None
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dismissed_at: Optional[str] = None
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@dataclass
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class ScammerEntry:
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"""A seller manually or community-flagged as a known scammer."""
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platform: str
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platform_seller_id: str
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username: str
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reason: Optional[str] = None
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source: str = "manual" # "manual" | "csv_import" | "community"
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id: Optional[int] = None
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created_at: Optional[str] = None
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@dataclass
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class PhotoHash:
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"""Perceptual hash store for cross-search dedup (v0.2+). Schema scaffolded in v0.1."""
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listing_id: int
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photo_url: str
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phash: str # hex string from imagehash
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id: Optional[int] = None
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first_seen_at: Optional[str] = None
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